Objectives: To explore the trimester wise significance of the primary outcome in pregnant women during coronavirus disease-19 (COVID-19) pandemic.
This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of the need for an innovative policy in the area of health protection at the link with the transformation of the social and economic development of the country through the pandemic COVID-19. The main goal of this study is to predict two scenarios for the development of the main indicators of the country's socio-economic development: considering the pandemic COVID-19 and the possible course of events without the influence of epidemiological threats. The systematization of literary sources and approaches to innovation and the determination of the volume of negative consequences for the national economy, due to the introduction of quarantine restrictions, has shown that this issue is quite relevant around the world. The study of the transformation of the trajectory of economic development of Ukraine in the article was carried out in the following logical sequence: 1) collection of statistical information, including 118 indicators of social development, the state of capital investment and business expectations of Ukrainian enterprises and screening of multicollinear indicators among them; 2) performing a time series decomposition separately for the interval 5 years before quarantine and taking into account the impact of the pandemic; 3) forecasting the consequences of the pandemic according to the investigated indicators of economic development in 2020-2022 by turning the time series into the Fourier series. The methodological tools of the study were methods of checking for multicollinearity by Pearson coefficients, decomposition of additive models into a trend and cyclic components, selection of cyclic oscillations by fast Fourier transform, extrapolation of constructed models for subsequent years, and quality control of constructed models by F-test quarterly data for 2015-2020 are selected. The study empirically confirms and theoretically proves that among the socio-economic development factors studied, most experienced significant transformations due to the introduction of quarantine restrictions by the government. This leads to the need for innovation policy in the health sector in order to minimize such consequences in the future. Keywords: Fourier series, forecasting, COVID-19, innovation, time series decomposition, health care.
COVID -19 pandemic is creating an uncertainty about the demographic trends of morbidity and mortality rates across countries worldwide. Hence, this study is aimed to characterize the gender and age distribution of morbidity and mortality from COVID-19 across populations. This cross-sectional study uses aggregate data on COVID-19 cases and deaths by gender and age. Considering gender-based morbidity, men diagnosed with COVID-19 substantially outnumber infected women with statistically significant findings (*p=<0.05, □ RR>2) in Asian, American, and African countries, whereas women diagnosed higher morbidity rate in European countries. However, gender-based fatality showed higher among men in most of the analyzed countries of all those continents except Australia where female fatality was higher. This study revealed 50 years old were mostly associated with the infection and death in all continents except Australia, showing more morbidity above 20 years of age, whereas, fatality rate was more in the above 80 years group. The study concludes that, across countries, COVID-19 morbidity and fatality rate is age specific rather than gender specific. Infection rates showed rising steeply with age; nevertheless, children do not stand on equal footing when COVID-19 crisis is transforming their day-to-day lives.
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